EulerFoldAspiring AI Engineers
Deep Learning Fundamentals
“Understand neural networks, backpropagation, and loss functions before tuning Vision or Diffusion models.”
What you'll learn
Design and train fully connected neural networks
Implement backpropagation
Apply CNNs to images
Understand sequence modeling
W1
Neural Network Foundations
2 videos•99m
2 readings
2 topics
1 homework
W2
Optimization and Training
2 videos•36m
3 readings
2 topics
1 homework
W3
Convolutional Neural Networks
2 videos•73m
3 readings
2 topics
1 homework
W4
Advanced Computer Vision
2 videos•42m
2 readings
2 topics
1 homework
W5
Sequence Models
2 videos•35m
2 readings
2 topics
1 homework
W6
Transformers and Generative Models
2 videos•82m
2 readings
2 topics
1 homework
01
Learn
Watch curated videos and read study resources
02
Practice
Practice what you learned
03
Build Projects
Build projects using your new gained knowledge
04
Submit & Verify
Submit your project and get verified by our system
References
Rate this course
Help the community find verified technical paths.
Community Insights
0Join the discussion
Sign in to share your thoughts and technical insights.
Loading insights...